Ινστιτούτο Πληροφορικής & Τηλεπικοινωνιών

Mitsou Alexandros

amitsou [at] iit.demokritos.gr210 650 3175

Mitsou received his B.Sc. degree in Computer Science from the University of Thessaly. He then attended the University of the Peloponnese in collaboration with the National Center for Scientific Research “Demokritos”, where he received an M.Sc. in Data Science. He has been a member of the Computational Intelligence Lab (CIL) since 2017. Since Spring 2020 has been pursuing his Ph.D. in Computer Science and Telecommunications at the University of Thessaly. His research areas of interest include multimodal information processing and analysis.

Publications

Eirini Mathe, Alexandros Mitsou, Evaggelos Spyrou, Phivos Mylonas, Arm Gesture Recognition using a Convolutional Neural Network, In 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP 2018), Zaragoza, Spain, 6-7 September, IEEE, (Pages: 37–42), 2018. [url] [doi]

Ioannis Vernikos, Eirini Mathe, Evaggelos Spyrou, Alexandros Mitsou, Theodore Giannakopoulos, Phivos Mylonas, Fusing Handcrafted and Contextual Features for Human Activity Recognition, In 14th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2019, Larnaca, Cyprus, 9-10 June, (Pages: 1–6), 2019. [url] [doi]

Theodors Psallidas, Alexandros Mitsou, George Pikramenos, Evangelos Spyrou, Theodoros Giannakopoulos, ARCHEO: A Dataset for Sound Event Detection in Areas of Touristic Interest, In 15th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), 29-30 October, Virtual, IEEE, (Pages: 1–6), 2020. [url]

Alexandros Mitsou, Evaggelos Spyrou, Theodoros Giannakopoulos, Multimodal Workplace Monitoring for Human Activity Recognition, In 25th Panhellenic Conference on Informatics (PCI), 26-28 November, 2021.

Mitsou A., Koutsiou D.C, Diamantis D.E., Psallidas Th., Dimas G., Vasilakakis M., Kalozoumis P., Spyrou E., Perantonis S., Krukowski A., Iakovidis D., ENORASI Assistive Computer Vision-based System for the Visually Impaired: A User Evaluation Study, In The15th International Conference on PErvasive Technologies Related to Assistive Environments, ACM, 2022. [url] [doi]

Mitsou Α., Petrogianni Α., Vakalaki Ε.Α., Nikou C., Psallidas T., Giannakopoulos T., A multimodal dataset for electric guitar playing technique recognition, In Data in Brief, Elsevier, volume 52, (Pages: 109842), 2024. [pdf] [doi]

View All